Resilient machine learning for networked cyber physical systems: A survey for machine learning security to securing machine learning for CPS
Cyber Physical Systems (CPS) are characterized by their ability to integrate the physical and
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
information or cyber worlds. Their deployment in critical infrastructure have demonstrated a …
Security and privacy in IoT using machine learning and blockchain: Threats and countermeasures
Security and privacy of users have become significant concerns due to the involvement of
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at …
Privacy-preserved data sharing towards multiple parties in industrial IoTs
The effective physical data sharing has been facilitating the functionality of Industrial IoTs,
which is believed to be one primary basis for Industry 4.0. These physical data, while …
which is believed to be one primary basis for Industry 4.0. These physical data, while …
[HTML][HTML] Deep neural network correlation learning mechanism for CT brain tumor detection
M Woźniak, J Siłka, M Wieczorek - Neural Computing and Applications, 2023 - Springer
Modern medical clinics support medical examinations with computer systems which use
Computational Intelligence on the way to detect potential health problems in more efficient …
Computational Intelligence on the way to detect potential health problems in more efficient …
Machine learning for the detection and identification of Internet of Things devices: A survey
The Internet of Things (IoT) is becoming an indispensable part of everyday life, enabling a
variety of emerging services and applications. However, the presence of rogue IoT devices …
variety of emerging services and applications. However, the presence of rogue IoT devices …
Global context based automatic road segmentation via dilated convolutional neural network
Road segmentation from remote sensing images is a critical task in many applications. In
recent years, various approaches, particularly deep learning-based methods, have been …
recent years, various approaches, particularly deep learning-based methods, have been …
Toward edge-based deep learning in industrial Internet of Things
As a typical application of the Internet of Things (IoT), the Industrial IoT (IIoT) connects all the
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …
related IoT sensing and actuating devices ubiquitously so that the monitoring and control of …
An efficient deep learning framework for intelligent energy management in IoT networks
T Han, K Muhammad, T Hussain… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Green energy management is an economical solution for better energy usage, but the
employed literature lacks focusing on the potentials of edge intelligence in controllable …
employed literature lacks focusing on the potentials of edge intelligence in controllable …
Distant domain transfer learning for medical imaging
Medical image processing is one of the most important topics in the Internet of Medical
Things (IoMT). Recently, deep learning methods have carried out state-of-the-art …
Things (IoMT). Recently, deep learning methods have carried out state-of-the-art …
A tensor-based multiattributes visual feature recognition method for industrial intelligence
Industrial Internet-of-Things (IIoT) has revolutionized almost every aspect of industrial
manufacturing through industrial intelligence by incorporating production equipment, mobile …
manufacturing through industrial intelligence by incorporating production equipment, mobile …